多尺度曲率在渤海K油田断裂解释中的应用

Application of Multi-scale Curvature in Fault Interpretation of K Oilfield in Bohai Sea

复杂断裂系统是影响K油田开发的关键问题,常规属性(如相干属性、纹理属性等)在解释断层方面存在局限,特别是微小断层的识别和多尺度复杂断裂系统的成像效果较差,并且容易受噪音干扰。为了解决这些问题,本文采用保边平滑滤波(EPS)技术对地震资料进行预处理,既能有效压制随机噪音,提高信噪比,又保持地震数据的边缘结构信息。在此基础上,利用时频波数域多尺度算子实现多尺度曲率分析。这种组合创新方法在渤海K油田的断裂识别和解释中表现良好,为开发井位的顺利实施提供有力指导,帮助规避风险断层,提高了开发效率和成功率。

Ascertaining the curvature attributes of fault systems depends on the partial derivative,which is easily disturbed by noise.Therefore,an edge-preserving de-noising filter is used to preprocess seismic data,effectively improving the signal-to-noise ratio and maintaining information on the edge structure.On this basis,multi-scale curvature analysis is realized by using multi-scale operators in a time–frequency–wavenumber domain.This attribute fully considers the complexity of geological structure and fault distribution characteristics.Small-scale curvature attributes can better represent subtle changes in geological structure,which is conducive to avoiding risk faults in the oilfield development phase.Large-scale curvature attributes are conducive to the macro analysis of fault distribution characteristics,which plays an important role in regional exploration.The multi-scale curvature method has been well applied to fault interpretation in the Bohai K Oilfield and has proven beneficial to the drilling of oilfield development wells.